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Proceedings of ELM-2015. Volume 2, Theory, algorithms and applications (II) / Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse, editors.

International Conference on Extreme Learning Machine (2015 : Hangzhou, China)

Cham : Springer, 2016.

Online access

  • Title:
    Proceedings of ELM-2015. Volume 2, Theory, algorithms and applications (II) / Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse, editors.
  • Author: International Conference on Extreme Learning Machine (2015 : Hangzhou, China)
  • Contributor: Jiuwen Cao editor.;
    Kezhi Mao editor.;
    Q. M. Jonathan Wu editor.;
    Amaury Lendasse editor.
  • Other Titles: Variant Title: Theory, algorithms and applications (II)
  • Subjects: Engineering; Artificial intelligence -- Congresses; Computational intelligence -- Congresses; COMPUTERS -- General; Artificial intelligence; Computational intelligence; Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Computational Biology/Bioinformatics; Bioinformatics; Data Mining and Knowledge Discovery; Computers -- Intelligence (AI) & Semantics; Computers -- Computer Science; Science -- Life Sciences -- Anatomy & Physiology; Computers -- Database Management -- Data Mining; Artificial intelligence; Life sciences: general issues; Molecular biology; Data mining; Artificial intelligence; Bioinformatics; Data mining; Electronic books; Conference papers and proceedings;
    Dewey: 006.3
  • Rights: Terms governing use: Copyright.
    Access restrictions: NON_PRINT_LEGAL_DEPOSIT
  • Publication Details: Cham : Springer, 2016.
  • Language: English
  • Description: Contents: Large-Scale Scene Recognition based on Extreme Learning Machines -- Partially Connected ELM for Fast and Effective Scene Classification Optimization -- Two-Layer Extreme Learning Machine for Dimension Reduction -- Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier -- An Adaptive Online Sequential Extreme Learning Machine for Real-Time Tidal Level Prediction -- Optimization of Outsourcing ELM problems in Cloud Computing from Multi-Parties -- H-MRST: A Novel Framework For Support Uncertain Data Range Query Using ELM -- The SVM-ELM Model based on Particle Swarm Optimization -- ELM-ML: Study on Multi-Label Classification using Extreme Learning Machine -- Sentiment Analysis of Chinese Micro Blog based on DNN and ELM and Vector Space Model -- Self Forward and Information Dissemination Prediction Research in SINA Microblog Using ELM -- Sparse Coding Extreme Learning Machine for Classification --
    Contents: Continuous Top-K Remarkable comments Over Textual Streaming Data Using ELM -- ELM based Representational Learning for Fault Diagnosis of Wind Turbine Equipment -- Prediction of Pulp Concentration Using Extreme Learning Machine -- Rational and Self-Adaptive Evolutionary Extreme Learning Machine for Electricity Price Forecast -- Contractive ML-ELM for Invariance Robust Feature Extraction -- Automated Human Facial Expression Recognition Using Extreme Learning Machines -- Multi-Modal Deep Extreme Learning Machine for Robotic Grasping Recognition -- Denoising Deep Extreme Learning Machines for Sparse Representation -- Extreme Learning Machine based Point-of-Interest Recommendation in Location-based Social Networks -- The Granule-Based Interval Forecast for Wind Speed -- KELM : An Improved K-means Clustering Method using Extreme Learning Machine -- Wind Power Ramp Events Classification using Extreme Learning Machines --
    Contents: Facial Expression Recognition Based on Ensemble Extreme Learning Machine with Eye Movements Information -- Correlation between Extreme Learning Machine and Entorhinal Hippocampal System -- RNA Secondary Structure Prediction using Extreme Learning Machine with Clustering Under-Sampling Technique -- Multi-Instance Multi-label learning by Extreme Learning Machine -- A Randomly Weighted Gabor Network for Visual-Thermal Infrared Face Recognition -- Dynamic Adjustment of Hidden Layer Structure for Convex Incremental Extreme Learning Machine -- ELMVIS+: Improved Nonlinear Visualization Technique using Cosine Distance and Extreme Learning Machines -- On Mutual Information over non-Euclidean Spaces, Data Mining and Data Privacy Levels -- Probabilistic Methods for Multiclass Classification Problems -- A Pruning Ensemble Model of Extreme Learning Machine with L1/2 Regularizer -- Evaluating Confidence Intervals for ELM Predictions -- Real-Time Driver Fatigue Detection Based on ELM --
    Contents: A High Speed Multi-label Classifier based on Extreme Learning Machines -- Image Super-Resolution by PSOSEN of Local Receptive Fields Based Extreme Learning Machine -- Sparse Extreme Learning Machine for Regression -- WELM:Extreme Learning Machine with Wavelet Dynamic Co-Movement Analysis in High-Dimensional Time Series.
  • Identifier: ISBN 9783319283739 (electronic bk.); ISBN 3319283731 (electronic bk.); ISBN 3319283723 (print); ISBN 9783319283722 (print)
    10.1007/978-3-319-28373-9 doi; BNB GBB8N3356; System number: 019148590
  • Notes: Includes author index.
  • Physical Description: 1 online resource (ix, 516 pages) : illustrations (some color).
  • Series: Proceedings in Adaptation, Learning and Optimization, volume 7
  • Shelfmark(s): General Reference Collection DRT ELD.DS.362812
  • UIN: BLL01019148590

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